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Databricks Apps Adoption Playbook

Field vs Product framework for driving adoption

Partner Ecosystem

Owner: Partner Team / Adoption Architect


Partnership Strategy Overview

Five partnership categories are critical to scaling Apps adoption:

flowchart LR
    subgraph Partners["APPS PARTNERSHIP ECOSYSTEM"]
        FE["INTERNAL<br/>FE Teams"]
        ISV["ISVs<br/>IDE + AI"]
        SI["System<br/>Integrators"]
        IL["GTM Industry<br/>Leads"]
        PS["Professional<br/>Services"]
    end
    
    FE --> Signal["Signal Capture"]
    ISV --> DevExp["Developer Experience"]
    SI --> Delivery["Solution Delivery"]
    IL --> Vertical["Vertical Alignment"]
    PS --> Deep["Deep Implementation"]

Partner Type 1: Internal FE Teams

Role

Field Engineering teams (especially EPLs) serve as the front line for:

  • Signal capture from customer conversations
  • Pattern identification across accounts
  • Early warning on adoption blockers
  • Feedback loop to Product and Adoption Architect

Current State

Dimension Status
Data/ML expertise ✅ Strong
App development expertise ❌ Gap
Signal capture process ❓ Unknown
Feedback mechanisms ❓ Unknown

Actions Needed

Action Purpose Priority
Enable FEs on app patterns Close expertise gap High
Create signal capture process Systematic friction identification High
Establish feedback cadence Regular input to playbooks Medium
Identify Apps champions in FE Build internal advocates Medium

Partner Type 2: ISVs (Independent Software Vendors)

Strategic Goal

Win developer mindshare by making Databricks the preferred platform for data-intensive application development.

IDE Experiences (Critical for Quantity Motion)

Partner Opportunity
Cursor AI-assisted Databricks development
Windsurf Modern IDE with Databricks integration
Vercel Frontend deployment + Databricks backend
Replit Rapid prototyping, platform integration

Strategic Play: Coding agents should easily integrate with Databricks and understand its services → Create an opinionated, data-oriented IDE experience.

Link to Quantity Motion:

  • IDE experience is critical for Digital Native customers
  • Developer mindshare governs adoption in tech-forward accounts
  • Many lightweight apps require frictionless creation experience

AI/ML ISVs

Partner Type Opportunity
Vector DB providers Integrate with Lakebase
LLM frameworks LangChain, LlamaIndex integrations
Agent platforms Native Databricks agent building

Actions Needed

Action Purpose Priority
Identify target IDE partners Developer experience focus High
Create Databricks SDK for IDEs Enable seamless development High
Develop partner certification Quality control for Apps Medium

Partner Type 3: System Integrators (SIs)

Strategic Goal

Partner with SIs who lead with an App-first GTM motion to scale solution delivery.

Ideal SI Partner Profile

Dimension Criteria
GTM Motion Leads with applications, not infrastructure
Industry Focus Deep vertical expertise
Databricks Expertise Existing partnership or willingness to invest
Delivery Model Can build and operationalize Apps

Competitive Dynamic: Palantir’s FDE Motion

Palantir’s Advantage:

  • Deploys engineers directly with customers
  • Creates deep, solution-oriented relationships
  • Expensive but effective for land-and-expand

Counter-Strategy via SI Partners:

  • SIs can provide FDE-like engagement
  • More scalable than internal FDE build-out
  • Leverage SI industry expertise
  • Lower cost than Palantir’s model

ISV + SI Complementary Model

ISVs and SIs scale adoption differently but work together as a complementary motion:

flowchart LR
    subgraph Build["PHASE: BUILD"]
        ISV["ISV (e.g., Replit)<br/>• Dev speed<br/>• Platform integration<br/>• Rapid prototyping"]
    end
    
    subgraph Deploy["PHASE: DEPLOY/OPERATE"]
        SI["SI<br/>• Delivery<br/>• Infrastructure<br/>• Prod readiness"]
    end
    
    ISV --> |"Handoff"| SI
    
    Build --> Quantity["Quantity Motion"]
    Deploy --> Quality["Quality Motion"]

Actions Needed

Action Purpose Priority
Identify App-first SIs Find partners with right GTM motion High
Create SI enablement program Train on Apps architecture High
Develop joint solution accelerators Speed time-to-value Medium
Establish co-sell motions Align incentives Medium

Partner Type 4: GTM Industry Leads

Strategic Goal

Align with GTM Industry Leads to identify key Apps use cases by vertical and drive industry-specific adoption momentum.

Why Industry Leads Matter

  • FE doesn’t see Apps opportunities without vertical context
  • Use cases vary significantly by industry
  • Industry leads control event presence, EBC content, field priorities
  • Execs need industry-relevant “I want that!” moments

Industry Lead Alignment Matrix

Industry Lead Use Cases by Archetype App First Demo Status
Retail TBD Cockpit: Inventory visibility, Vertical: Demand sensing [Link: TBD] Not aligned
FSI TBD Cockpit: Risk dashboard, Vertical: Fraud detection [Link: TBD] Not aligned
HLS TBD Cockpit: Clinical ops, Vertical: Trial optimization [Link: TBD] Not aligned
MFG TBD Cockpit: Supply chain, Vertical: Quality prediction [Link: TBD] Not aligned
DN TBD Horizontal: Platform tools, AI apps [Link: TBD] Not aligned

Industry Lead Responsibilities

Responsibility Description Deliverable
Use Case Definition Identify key Apps use cases by archetype for their vertical Use case catalog
App First Demos Encourage and sponsor creation of industry-specific demos Demo links
Event Presence Ensure Apps demos at industry events (NRF, HIMSS, etc.) Event calendar
EBC Coverage Include Apps positioning in strategic customer EBCs EBC agenda
Internal Hackathons Champion exec-sponsored “Month of Apps” initiatives Hackathon outcomes

Actions Needed

Action Purpose Priority
Align with 5 industry leads on Apps use cases Define vertical-specific opportunities High
Create App First Demo repository Centralize demo assets by industry High
Document “Month of Apps” playbook Enable replication across verticals High
Establish EBC Apps coverage standard Ensure exec visibility Medium

Partner Type 5: Professional Services (Internal)

Strategic Goal

Engage Professional Services to enable deep implementations for business outcome-oriented customers (Quality motion).

Why PS Matters for Apps

Dimension Without PS With PS
Implementation Depth Shallow, often abandoned Deep, production-grade
Business Value Unclear, technical focus Tied to outcomes
Retention Low High
Stickiness Low High

When to Engage PS

Customer Profile Engage PS? Why
Business outcome-oriented ✅ Yes Need depth to prove value
Enterprise, Regulated (FSI, HLS) ✅ Yes Compliance requires depth
Few developers, business sponsor ✅ Yes Need hands-on support
Strategic lighthouse account ✅ Yes Win must be bulletproof
Digital Native, many developers ❌ No Self-serve, dev experience focus

PS Engagement Model

Phase PS Role Deliverable
Discovery Business value workshop Use case prioritization
Design Architecture review Reference architecture
Build Hands-on implementation Production app
Launch Go-live support Operational readiness
Optimize Performance tuning Retention checkpoint

Actions Needed

Action Purpose Priority
Align with PS leadership on Apps capacity Ensure PS availability for Quality motion High
Create PS enablement on Apps patterns Build PS capability High
Define PS engagement criteria for Apps Clarify when to engage PS Medium
Track PS engagement → retention correlation Validate hypothesis Medium

Partnership Prioritization Matrix

Partner Type 3-Month Focus 6-Month Focus 12-Month Focus
FE Teams Signal capture process Enablement at scale Apps champions network
ISVs IDE partnership exploration SDK development Ecosystem showcase
SIs Identify 2-3 strategic partners Joint enablement Co-sell at scale
Industry Leads Align on use cases Launch hackathons Full vertical coverage
Professional Services PS alignment, lighthouse PS capacity planning PS-lite model for scale

Partnership Success Metrics

Metric Definition Target
FE Apps Conversations # of Apps-related customer conversations TBD
ISV Integrations # of IDE/tool integrations live TBD
SI-Sourced Pipeline Pipeline from SI-led opportunities TBD
SI-Delivered Apps # of production Apps built by SIs TBD
Developer Adoption # of developers building on Databricks Apps TBD

Last Updated: January 2026

Related: Field Enablement ICP and Targeting Hypotheses H5, H8